Dithiocarbamates and dithiocarbonates containing 6-nitrosaccharin scaffold: Synthesis, antimycobacterial activity and in silico target prediction using ensemble docking-based reverse virtual screening
Elsevier BV, Vol. 1277, Nisan 2023, ISSN: 0022-2860
TRAWALLY MUHAMMED, DEMİR YAZICI KÜBRA, DİNGİŞ BİRGÜL SERAP İPEK, KAYA KEREM, AKDEMİR ATİLLA, GÜZEL AKDEMİR ÖZLEN
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Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias corrected regional climate simulations
Hydrology and Earth System Sciences, GOTTINGEN/ALMANYA, Vol. 17, No. 10, Ocak 2013, s. 4241-4257, ISSN: 1607-7938
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The skill of seasonal ensemble low flow forecasts in the Moselle River for three different hydrological models
Hydrology and Earth System Sciences, GOTTINGEN/ALMANYA, Vol. 19, No. 1, Ocak 2015, s. 275-291, ISSN: 1607-7938
DEMİREL MEHMET CÜNEYD,BOOİJ MARTİJN J,HOEKSTRA ARJEN Y
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Multischeme ensemble forecasting of surface temperature using neural network over Turkey
Theoretical and Applied Climatology, Vol. 111, No. 3-4, Şubat 2013, s. 703-711, ISSN: 0177-798X
KADIOĞLU MİKDAT,SEDEF CAKİR,NİHAT CUBUKCU
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Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics
HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol. 23, No. 11, Ocak 2019, s. 4803-4824, ISSN: 1027-5606
AHMED KAMAL,SACHİNDRA DHANAPALA A,SHAHİD SHAMSUDDİN,DEMİREL MEHMET CÜNEYD,CHUNG EUN SUNG
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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
Neural Computing and Applications, Vol. 34, No. 1, Ocak 2022, s. 783-812, ISSN: 0941-0643
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Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways
European Journal of Environmental and Civil Engineering, Vol. 26, No. 6, Ağustos 2022, s. 3547-3565, ISSN: 1964-8189
EKMEKCİOĞLU ÖMER,BAŞAKIN EYYUP ENSAR,ÖZGER MEHMET
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Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets
Urban Water Journal, Vol. 19, Ekim 2022, ISSN: 1573-062X
EKMEKCİOĞLU ÖMER, BAŞAKIN EYYUP ENSAR, ÖZGER MEHMET
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Ensemble Learning Based Stock Market Prediction Enhanced with Sentiment Analysis
International Conference on Intelligent and Fuzzy Systems, Vol. 308, No. 2, 24 Ağustos 2021, s. 446-454
SİVRİ MAHMUT SAMİ, ÜSTÜNDAĞ ALP, KORKMAZ BUSE SİBEL
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An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms
Informa UK Limited, Vol. 7, No. 1, Ekim 2024, s. 42-62, ISSN: 2573-234X
SİVRİ MAHMUT SAMİ, ÜSTÜNDAĞ ALP
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A novel ensemble artificial intelligence approach for coronary artery disease prediction
International Journal of Intelligent Computing and Cybernetics, Vol. 17, Haziran 2024, ISSN: 1756-378X
YANIK ÖZBAY SEDA,NAMLI DAĞ ÖZGE HÜSNİYE,ERDOĞAN ASLAN,SCHMEİNK ANKE
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Robust trajectory optimization of re-entry flight with prescribed endpoint region via sparse grid ensemble pseudospectral optimal control
ADVANCES IN SPACE RESEARCH, Vol. 72, Aralık 2023, ISSN: 0273-1177
SELİM AKAN, ÖZKOL İBRAHİM
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Analyzing neural connectivity using a network likelihood model of ensemble neural spiking activity
Society for Neuroscience Kongresi, 1 Eylül 2004
OKATAN MURAT,FRANK LOREN,WILSON MATTHEW,BROWN EMERY
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Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets
Urban Water Journal, Vol. 19, No. 10, Ekim 2022, s. 1093-1108, ISSN: 1573-062X
EKMEKCİOĞLU ÖMER, BAŞAKIN EYYUP ENSAR, ÖZGER MEHMET
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Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks
Computational Diffusion MRI - MICCAI, 20 Eylül 2018
UĞURLU DEVRAN,FIRAT ZEYNEP,TÜRE UĞUR,ÜNAL GÖZDE
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Exploring the sensory and motor attributes of ensemble neural spiking activity using a network likelihood model
Statistical Analysis of Neuronal Data-4 Workshop, Carnegie Mellon U., Pittsburgh, PA, ABD., No. 1, 1 Nisan 2008, s. 1
OKATAN MURAT,MACDONALD CHRİSTOPHER,EİCHENBAUM HOWARD
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Analyzing and decoding neural ensemble spiking activity using a multivariate point process likelihood model
5. Ulusal Sinirbilim Kongresi Neuroanatomy, Zonguldak/TÜRKİYE, Vol. 5, 1 Nisan 2006, s. 16-16, ISSN: 1303-1775
OKATAN MURAT,WILSON MATTHEW,BROWN EMERY
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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
Neural Computing and Applications, Vol. 34, No. 1, Ağustos 2022, s. 783-812, ISSN: 0941-0643
BAŞAKIN EYYUP ENSAR, EKMEKCİOĞLU ÖMER, ÇITAKOĞLU HATİCE, ÖZGER MEHMET
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Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
Neural Computation, Vol. 17, No. 9, Eylül 2005, s. 1927-1961, ISSN: 0899-7667
OKATAN MURAT,WİLSON MATTHEW A,BROWN EMERY N
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Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways
European Journal of Environmental and Civil Engineering, Vol. 26, No. 6, Ağustos 2022, s. 3547-3565, ISSN: 1964-8189
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